AI search improvement by applying additional recommendation types

AI search phrases that are well-built and adaptable can become a key tool enabling maximum shortening of the user's path, leading to more purchases.

To enable the customer to find the product he needs as quickly as possible, it is important to take care of the accuracy of the AI search and to monitor the search engine's behavior and calibrate it accordingly. Various types of recommendations allow adding other modules with recommended products to the search engine.

Screenshot presenting ab tests


Example of use - construction industry

A client from the construction industry wanted to shorten the user's path as much as possible to find the needed product using AI search. For this purpose, he decided to display product suggestions in the form of a list already at the stage when the user clicks on the search engine, but has not yet enter the desired phrase. The displayed offers were selected based on a personalized recommendations model.

Results

  • CTR 11%
  • Campaign conversion 1.4%
  • Increase in the number of people using the search engine by 9% within 21 days from launching the campaign

Requirements

  • Synerise Tracker
  • OG tags implemented
  • Product feed
  • Transaction events tracking

How to do it

  1. Prepare an AI campaign with personalized products. Pay attention to the appropriate filters, adapting them to the needs of your e-commerce operation and the number of products displayed in the campaign.

  2. Prepare a dynamic content campaign in which you will use the previously created AI campaign. The campaign should be injected into the appropriate selector associated with the search engine in the form of a list. Also, it should be hidden when the user begins to type the phrase.

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